摘要
提出一种基于卡尔曼滤波的运动目标快速跟踪算法。利用卡尔曼滤波器的预测功能,预测运动人体目标在下一帧中的位置,在Matlab仿真环境下实现该跟踪算法,实验结果表明:该算法对人体目标的运动趋势能够做出正确的预测估计,跟踪效果和性能较为稳定和可靠。此外,该算法将图像全局搜索问题转换为局部搜索,使运算量减少,满足实时性跟踪要求,实现了对运动目标的快速跟踪。
A real-time moving object tracking algorithm based on Kalman filter is proposed.The possible position of the moving human in the next frame is predicted by Kalman filter＇s predictive function.Based on the Matlab simulation environment to achieve the tracking algorithm and the experimental results show that the algorithm can correctly estimate the human＇s motion trend and the tracking results and performance is better.In addition,the global searching scope of an image is converted to local scope,thus reduce the computation and meet the requirements of real-time tracking,and the speedy tracking of moving human is realized.
出处
《计算机与数字工程》
2012年第1期1-3,33,共4页
Computer & Digital Engineering
基金
军队预研计划项目资助
关键词
卡尔曼滤波
运动人体跟踪
位置预测
红外图像
Kalman filter
moving human tracking
position prediction
infrared image
